crashflow_questions.md

Questions

Step 0:

• What is the title of your project?
• what is the theme of your project?
• what is the research question underlying your project?
• what is the hypothesis of your project?
• what is the domain?
• what are core concepts of your project?
• what are the relevant keywords?

Step 1 (acquiring):

• which resources have data that is relevant to your research question?
• how do these resources allow you to acquire relevant data?
  • searching and browsing
  • download whole collection
  • extract data through API
• which API is appropriate for your project?
• What is the data that you need from the API?
• What query or queries would give you the data you need (think of the keywords you entered for step 0)?

Step 1b (reflecting on acquisition):

• is the data from these sources sufficient for your research?
• is the data from these sources complete and reliable?
• what are limitations of acquiring data through the API?
• what are limitations of the queries you can create?

Step 2 (parsing):

• what type of data are you working with?
  • metadata description with multiple fields
  • natural language description (summary, review,)
  • full-text document
  • non-textual document (image, video, audio recording)
• how is the data structured?
• is the data structured consistently?

Step 3 (filtering):

• from the data that the API returned, which parts do you need for your research?
• which parts can be removed?

Step 4 (mine):

• what kind of information do you want to get from each relevant part?
  • frequency of occurrence
  • frequency of co-occurrence
  • order of occurrence (timeline)

Step 5 (represent):

• What kind of visual model would best allow you to analyse your data to answer your research question?

Step 6 (refine):

• what are areas of interest in the representation that may need more detail?
• what aspects of the representation would you like to highlight or represent differently?
• what refinement methods would give focus to the areas of interest?
  • using different colours for data points in the area of interest.
  • zooming in on the areas of interest.
  • rotating the presentation

Step 7 (Interact):

• how do you want to manipulate the data in the visualisation to be able to view it from different perspectives?